A general framework for estimating volume-outcome associations from longitudinal data

Statistics in Medicine

Volumn 31, Issue 4, 2012, Pages 366-382

  French, Benjamin ^a   Farjah, Farhood ^b   Flum, David R ^b   Heagerty, Patrick J ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Estimating equations; Health services research; Informative cluster size; Mixed models; Surgeon experience

Indexed keywords

ARTICLE; CONCEPTUAL FRAMEWORK; HEALTH SERVICE; INFORMATION PROCESSING; LONGITUDINAL STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEDICAL RESEARCH; MEDICARE; METHODOLOGY; MULTIPLE REGRESSION; SIMULATION; SURGEON;

BIAS (EPIDEMIOLOGY); CAUSE OF DEATH; COMPUTER SIMULATION; FEMALE; HUMANS; LONGITUDINAL STUDIES; LUNG NEOPLASMS; MALE; MODELS, STATISTICAL; POSTOPERATIVE COMPLICATIONS; THORACIC SURGICAL PROCEDURES; TREATMENT OUTCOME;

EID: 84855967811     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4410     Document Type: Article

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